• The Journal of Industrial Distribution & Business
• /
• v.8 no.1
• /
• pp.15-22
• /
• 2017

Purpose - Retail companies are turning from one type of retailer to multiple business categories through various reasons, such as taking advantage of existed types of retailers' channel distribution, information and know-how, and entering into new types of retailers. However, there is few research conducted about multiple type of retailers. Research design, data, and methodology - In this research, the references, data and new stores on E-mart will be collected. The dissertation, annual report, statistical data, land-book of E-mart will be also collected to confirm whether E-mart has made any acquisition towards another company. Results - There is a tendency to new stores expansion, store enlargement and prolonging the opening preparation of new stores, based on the core of new stores expansion of E-mart as a general supermarket type of retailers. Based on general supermarket type of retailers, E-mart begins to diversify its retail company's type of retailers. Conclusions - As a general supermarket which is the most important type of retailers, E-mart is expanding into SSM type of retailers to seek new power of growth while slowdown growth is shown in general supermarket type of retailers. The expansion into SSM type of retailers would be a wise option as a retail company, E-mart is able to keep growing in the future.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.413-419
• /
• 2020

This research focuses on the analysis of factors affecting the market share of retailers in Vietnam. This research uses Smith and Chaffey's (2005) 5Ss e-marketing model for analysis, which include Sell, Serve, Speak, Save, and Sizzle. Both quantitative and qualitative methods will be used to conduct the study. The researchers collected information from customers, managers, and directors in 25 retailers in Vietnam. A survey questionnaire was delivered to 15 people in each of the retailers who are customers, managers and directors. The researcher used the SPSS 16.0 software to analyze the data collected and in-depth interviews were carried out with the purpose of testing the hypothesis as well as the overall framework of the research. Out of the 375 questionnaires delivered, 360 were returned. The means of 23 items in the survey questionnaire ranged from 3.3733 to 4.3533 representing the outcome of the descriptive analysis. Research results showed that Cronbach's Alpha coefficient of five factors affecting the market share of the retailers is sizzle, save, sell, serve and speak. This research has proposed some implications for the market share of retailers, including technology enhancement for full message delivery, ways to approach target customers, and improving product diversity.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.2
• /
• pp.120-125
• /
• 2020

Supply chain managers seek to achieve global optimization by solving problems in the supply chain's business process. However, companies in the supply chain hide the adverse information and inform only the beneficial information, so the information is distorted and cannot be the information that describes the entire supply chain. In this case, supply chain managers can directly collect and analyze supply chain activity data to find and manage the companies described by the data. Therefore, this study proposes a method to collect the order-inventory information from each company in the supply chain and detect the companies whose data characteristics are explained through deep learning. The supply chain consists of Manufacturer, Distributor, Wholesaler, Retailer, and training and testing data uses 600 weeks of time series inventory information. The purpose of the experiment is to improve the detection accuracy by adjusting the parameter values of the deep learning network, and the parameters for comparison are set by learning rate (lr = 0.001, 0.01, 0.1) and batch size (bs = 1, 5). Experimental results show that the detection accuracy is improved by adjusting the values of the parameters, but the values of the parameters depend on data and model characteristics.

• Journal of the Korean Society of Food Culture
• /
• v.4 no.1
• /
• pp.109-120
• /
• 1989

The use of wheat flour in Korea in 1986 and 1987 was surveyed. A brief outline of wheat flour milling industry was also included. Since the overall trend in flour usage in 1986 and 1987 was similar, the data in 1986 were presented. Total sales volume of wheat flour was 1,556,891M/T, of which 51.1% was sold to wholesale agents and the remainder to commercial users. The main usages of flour were noodle-making, baking, brewing and common use including home use, retailer and supermarket. The first and second class of all-purpose flour were used for noodle-making and brewing. Bread was produced with the first class of strong flour. For confectionery the first class of all-purpose flour was mainly used.

• IE interfaces
• /
• v.22 no.2
• /
• pp.153-164
• /
• 2009

An effective management for reverse flows of products such as reuse, repair and disposal, has become an important issue for every aspect of business. In this paper, we study the Location-Routing Problem (LRP) in the multi-stage closed-loop supply chain network. The closed-loop supply chain in this study integrated both forward and reverse flows. In forward flow, a factory, Distribution Center (DC) and retailer are considered as usual. Additionally in reverse flow, we consider the Central Returns collection Center (CRC) and disposal facility. We propose a mixed integer programming model for the design of closed-loop supply chain integrating both forward and reverse flows. Since the LRP belongs to an NP-hard problem, we suggest a heuristic algorithm based on genetic algorithm. For some test problems, we found the optimal locations and routes by changing the numbers of retailers and facility candidates. Furthermore, we compare the efficiencies between open-loop and closed-loop supply chain networks. The results show that the closed-loop design is better than the open one in respect to the total routing distance and cost. This phenomenon enlarges the cut down effect on cost as an experimental space become larger.

• Industrial Engineering and Management Systems
• /
• v.13 no.2
• /
• pp.231-249
• /
• 2014

This paper discusses a green supply chain with a manufacturer and a collection trader, and it proposes an optimal production planning for remanufacturing of parts in used products with quality classification errors made by the collection trader. When a manufacturer accepts an order for parts from a retailer and procures used products from a collection trader, the collection trader might have some quality classification errors due to the lack of equipment or expert knowledge regarding quality classification. After procurement of used products, the manufacturer inspects if there are any classification errors. If errors are detected, the manufacturer reclassifies the misclassified (overestimated) used products at a cost. Accordingly, the manufacturer decides to remanufacture from the higher-quality used products based on a remanufacturing ratio or produce parts from new materials. This paper develops a mathematical model to find how quality classification errors affect the optimal decisions for a lower limit of procurement quality of used products and a remanufacturing ratio under the lower limit and the expected profit of the manufacturer. Numerical analysis investigates how quality of used products, the reclassification cost and the remanufacturing cost of used products affect the optimal production planning and the expected profit of a manufacturer.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.8 no.2
• /
• pp.344-351
• /
• 2004

This paper describes a modeling of service composition manager based on TINA (Telecommunication Information Networking Architecture). The service composition function is mainly motivated by the desire to easily generate new service using existing services from retailers or third party service providers. The TNA-C (Consortium) specification for the service composition does not include the detailed composition procedures and its object models. In this paper, we propose a model of components for the service composition, which adapts a static composition feature in a single provider domain To validate the proposed modeling, we implemented prototype service composition function, which combines two multimedia services; a VOD (Video On Demand) service and a VCS (Video Conference Service) service. As a result, we obtain the specification of the detailed composition architecture between a retailer domain and a third-party service provider domain.

• Asian Journal of Business Environment
• /
• v.5 no.4
• /
• pp.37-46
• /
• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.1
• /
• pp.195-203
• /
• 2019

The study aims to identify Service Quality factors that affect purchase decision on Click and Collect service through the mediating variable of customer emotions at Mobile World stores in Ho Chi Minh City. This study employs a mixed methods research design. Data were collected through online self-completion questionnaire distributed to 316 customers who used to experience Click and Collect service at the Mobile World stores in Ho Chi Minh City, Vietnam. The theoretical model was tested through two-stage regression analysis (PATH model). The findings show that factors of service quality such as Reliability, Responsiveness, Assurance, Empathy, Tangibility, and Emotions affect the decision to purchase online and receive products directly at Mobile World stores in Ho Chi Minh City. Responsiveness and Assurance have a significant positive impact on the customer's emotions. Consequently, these factors should be considered and addressed when conducting multi-channel services. Obviously, employees must first be trained to be able to deliver the promise of the retailer to their customers. Based on the results of the study, the authors provide managerial implications for retailers in Vietnam in the multi-channel retail environment to develop Click and Collect at retail stores across the country and the world.

• The Journal of Economics, Marketing and Management
• /
• v.9 no.6
• /
• pp.25-38
• /
• 2021

Purpose: This study is aiming at providing researchers and practitioners with new insights to analyse how retailers have made a contribution to the growth of HMR market in Japan and UK. Research design: The second section will look at the definition of HMR, and then, introduce each county's case, while analysing how retailers have developed the HMR market and illustrating some implications. Finally, the authors will draw a conclusion. Results: Retailers have established the retailer brand development department with the sophisticated retail information system which has made a considerable contribution to the growth of the HMR market. Also, it enables retailers to accumulate retail knowledge associated with ready-to-eat meals and train top-level experts, whilst helping them to build the trustworthy supply chain relationships by sharing the POS data with food manufacturers. Consequently, the cooperation with food manufacturers has enhanced in the HMR market in both Japan and UK, on the basis of sophisticated delivery system as well as the concept of innovation into the HMR sector. Conclusions: Retailers have to benchmark Japanese and British retailers' Knowledge to grow ready meal market in Korea and invest their marketing resources in developing various HMR foods, on the basis of innovative thinking.